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modbo algorithm » mould algorithm (Expand Search)
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101
Data reductions and combinatorial bounds for improved approximation algorithms
Published 2016“…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …”
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102
A novel linear time corner detection algorithm
Published 2005“…We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. The complexity of our algorithm is linear. …”
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103
A neural networks algorithm for data path synthesis
Published 2003“…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …”
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104
A direct algorithm for the parameterized face cover problem
Published 2017“…Recent improvements to face cover algorithms are based on the theory of fixed-parameter tractability and reductions to planar dominating set. …”
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105
A genetic algorithm approach for regrouping service sites
Published 2004“…We propose a two-phase method, based on a weighted-graph problem formulation, for providing good suboptimal solutions. …”
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106
A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …”
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107
A method for data path synthesis using neural networks
Published 2017“…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …”
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108
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
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doctoralThesis -
109
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…Consequently, scholars have begun to focus on document classification problem, offering various methods to address this issue. Researchers have utilized diverse data sources, such as citations, metadata, content, and hybrids, in their approaches.In these sources, the meta-data-based approach stands out for research paper classification due to its availability at no cost. …”
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110
A comparative study of regression testing methods. (c1996)
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111
Three-phase simulated annealing algorithms for exam scheduling
Published 2003“…We decompose the problem into three phases and propose simulated annealing algorithms for these phases. Hence, we refer to our solution methods as 3-phase simulated annealing (3PSA). …”
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112
A genetic algorithm for corrective retesting. (c1995)
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masterThesis -
113
A hybrid graph representation for exact graph algorithms
Published 2014“…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …”
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114
Allocating data to distributed-memory multiprocessors by genetic algorithms
Published 2016“…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
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115
Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach
Published 2024“…The suggested method performs noticeably faster than many other methods currently in use, and in addition to offering the highest power, it can also use bidirectional power flow regulation in both constant and variable air conditions. …”
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116
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117
Solution of Fractional Differential Equations: Transform and Iterative Methods Approach
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doctoralThesis -
118
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
Published 2025“…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …”
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119
Iterative Methods for the Solution of a Steady State Biofilter Model
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doctoralThesis -
120
An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
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